






from __future__ import annotations

import requests

a						:			List[Any]     	=					set(
    "approved_at_utc approved_by author_flair_background_color\nauthor_flair_css_class author_flair_richtext author_flair_template_id author_fullname\nauthor_premium can_mod_post category clicked content_categories created_utc downs\nedited gilded gildings hidden hide_score is_created_from_ads_ui is_meta\nis_original_content is_reddit_media_domain is_video link_flair_css_class\nlink_flair_richtext link_flair_text link_flair_text_color media_embed mod_reason_title\nname permalink pwls quarantine saved score secure_media secure_media_embed selftext\nsubreddit subreddit_name_prefixed subreddit_type thumbnail title top_awarded_type\ntotal_awards_received ups upvote_ratio url user_reports".split()
)






def 							lowerCamelCase__ (       __lowerCamelCase     :	str    ,						__lowerCamelCase     :	int = 1    ,						__lowerCamelCase     :	str = "new"    ,						__lowerCamelCase     :	list | None = None						):
  __UpperCAmelCase				:      int	 =    wanted_data or []
  if invalid_search_terms := ", ".join(sorted(set(__lowerCamelCase						) - valid_terms						)						):
    __UpperCAmelCase				:      List[Any]	 =    f"""Invalid search term: {invalid_search_terms}"""
    raise ValueError(__lowerCamelCase						)
  __UpperCAmelCase				:      int	 =    requests.get(
      f"""https://reddit.com/r/{subreddit}/{age}.json?limit={limit}"""    ,						headers={"""User-agent""": """A random string"""}    ,						)
  if response.status_code == 429:
    raise requests.HTTPError

  __UpperCAmelCase				:      List[Any]	 =    response.json()
  if not wanted_data:
    return {id_: data["data"]["children"][id_] for id_ in range(__lowerCamelCase						)}

  __UpperCAmelCase				:      Tuple	 =    {}
  for id_ in range(__lowerCamelCase						):
    __UpperCAmelCase				:      str	 =    {
        item: data["""data"""]["""children"""][id_]["""data"""][item] for item in wanted_data
    }
  return data_dict


if __name__ == "__main__":
       # If you get Error 429, that means you are rate limited.Try after some time
       print(get_subreddit_data("learnpython", wanted_data=["title", "url", "selftext"]))










"""simple docstring"""
import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property



@unittest.skipUnless(os.path.exists(a_)							,	"""Tatoeba directory does not exist.""")
class        UpperCamelCase__ (				unittest.TestCase):







    """simple docstring"""







    @cached_property
    def 				a__			(		self :	int ):





           '''simple docstring'''

           __magic_name__      				=    tempfile.mkdtemp()
           return TatoebaConverter(save_dir=UpperCamelCase_ )







    @slow
    def 				a__			(		self :	List[str] ):





           '''simple docstring'''

           self.resolver.convert_models(['heb-eng'] )







    @slow
    def 				a__			(		self :	Tuple ):





           '''simple docstring'''

           __magic_name__				,  __magic_name__      				=    self.resolver.write_model_card('opus-mt-he-en'				,    dry_run=UpperCamelCase_ )
           assert mmeta["long_pair"] == "heb-eng"